Yuchen Zhu

Hi, I am Yuchen Zhu, a 3rd year Machine Learning PhD at Georgia Tech.

My interests lie in the broad aspects of GenAI, wich applications in vision, language, and sciences (e.g. single cell genomics, protein sciences, etc). My research currently focuses on diffusion models/flow-based methods (especially discrete diffusion and diffusion LLMs), multimodal foundation models (such as VLMs, Multimodal LLMs), and their RL post-training algorithms.

At Georgia Tech, I am fortunate to be advised by Molei Tao and Yongxin Chen, and working with a group of incredible researchers. Prior to that, I graduated with MA in Statistics from Yale University and BS in Honors Mathematics with highest honor from NYU Shanghai. During those time, I had the privilege to work with Zhuoran Yang and Mathieu Laurière on theory/numerics of RL and mean-field system.

I am actively looking for PhD research internship opportunities for Summer 2026. Feel free to reach out if you think there might be a good fit! You can find my CV here.

Contact: yzhu738 [at] gatech [dot] edu